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What is ProModel Optimization Suite?

ProModel is a state-of-the-art discrete-event simulation software tailored to support the planning, design, and improvement of both new and existing systems across manufacturing, logistics, and various operational sectors. It empowers users to craft precise models of real-world processes, accurately reflecting their inherent variability and interconnections, which is vital for effective forecasting of potential changes. By concentrating on essential performance metrics, users can enhance the efficiency of their systems. The program also facilitates the development of an animated, interactive representation of the business landscape sourced from CAD files, process maps, or Process Simulator models, allowing for a vivid depiction of processes and operational policies in action. This visual representation proves invaluable during collaborative sessions, enabling teams to consider possible modifications and generate scenarios to evaluate enhancements aimed at achieving organizational objectives. Furthermore, users can simultaneously execute multiple scenarios and assess their results through the Output Viewer, leveraging sophisticated Microsoft® WPF technology to streamline the decision-making process. This holistic approach to simulation not only addresses immediate challenges but also promotes long-term strategic development and fosters innovation, ensuring that organizations remain agile in a competitive landscape. Ultimately, ProModel serves as a vital tool for businesses seeking to harness the power of simulation for continuous improvement.

What is AdditiveLab?

Metal Additive Manufacturing (AM) at the industrial level poses a fresh set of challenges for many companies. During the early phases of adopting AM technology, organizations frequently spend extensive time on trial-and-error testing to optimize build settings, which results in inefficiencies and additional costs. The software solution, AdditiveLab, tackles this problem by providing simulation capabilities that predict the outcomes of metal-deposition AM processes, significantly cutting down the need for extensive trial and error. With AdditiveLab, users can quickly pinpoint potential failure points and refine manufacturing setups to improve overall success rates, ultimately conserving both time and money. Tailored specifically for AM engineers, AdditiveLab does not necessitate any prior simulation knowledge and boasts a user-friendly interface along with automated model preparation steps, simplifying the simulation process to just a few clicks. Consequently, businesses can prioritize innovation and productivity while reducing the risk of costly delays that often accompany conventional techniques. This evolution in software not only enhances efficiency but also empowers engineers to push the boundaries of what is possible in metal AM.

Media

Media

Integrations Supported

Additional information not provided

Integrations Supported

Additional information not provided

API Availability

API Availability

Has API

Pricing Information

Pricing not provided
Free Trial Offered?

Pricing Information

Pricing not provided

Supported Platforms

Windows

Supported Platforms

SaaS

Customer Service / Support

Standard Support
Web-Based Support

Customer Service / Support

Standard Support
Web-Based Support

Training Options

Documentation Hub
Webinars
Online Training
On-Site Training

Training Options

Documentation Hub
On-Site Training

Company Facts

Organization Name

ProModel

Date Founded

1988

Company Location

United States

Company Website

www.promodel.com

Company Facts

Organization Name

AdditiveLab

Date Founded

2018

Company Location

Belgium

Company Website

www.additive-lab.com

Categories and Features

Predictive Analytics

AI / Machine Learning
Benchmarking
Data Mining
Demand Forecasting
For Education
For Healthcare
Modeling & Simulation

Simulation

3D Modeling
Design Analysis
Discrete Event Modeling
Dynamic Modeling
Graphical Modeling
Industry Specific Database
Monte Carlo Simulation
Motion Modeling
Presentation Tools
Stochastic Modeling

Categories and Features

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